/*
 * Copyright (c) 2022 Huawei Device Co., Ltd.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
import { deepForEach, reduce, containsCollections } from '../../utils/collection.js';
import { factory } from '../../utils/factory.js';
import { improveErrorMessage } from './utils/improveErrorMessage.js';
var name = 'max';
var dependencies = ['typed', 'config', 'numeric', 'larger'];
export var createMax = /* #__PURE__ */factory(name, dependencies, _ref => {
  var {
    typed,
    config,
    numeric,
    larger
  } = _ref;

  /**
   * Compute the maximum value of a matrix or a  list with values.
   * In case of a multi dimensional array, the maximum of the flattened array
   * will be calculated. When `dim` is provided, the maximum over the selected
   * dimension will be calculated. Parameter `dim` is zero-based.
   *
   * Syntax:
   *
   *     math.max(a, b, c, ...)
   *     math.max(A)
   *     math.max(A, dim)
   *
   * Examples:
   *
   *     math.max(2, 1, 4, 3)                  // returns 4
   *     math.max([2, 1, 4, 3])                // returns 4
   *
   *     // maximum over a specified dimension (zero-based)
   *     math.max([[2, 5], [4, 3], [1, 7]], 0) // returns [4, 7]
   *     math.max([[2, 5], [4, 3]], [1, 7], 1) // returns [5, 4, 7]
   *
   *     math.max(2.7, 7.1, -4.5, 2.0, 4.1)    // returns 7.1
   *     math.min(2.7, 7.1, -4.5, 2.0, 4.1)    // returns -4.5
   *
   * See also:
   *
   *    mean, median, min, prod, std, sum, variance
   *
   * @param {... *} args  A single matrix or or multiple scalar values
   * @return {*} The maximum value
   */
  return typed(name, {
    // max([a, b, c, d, ...])
    'Array | Matrix': _max,
    // max([a, b, c, d, ...], dim)
    'Array | Matrix, number | BigNumber': function ArrayMatrixNumberBigNumber(array, dim) {
      return reduce(array, dim.valueOf(), _largest);
    },
    // max(a, b, c, d, ...)
    '...': function _(args) {
      if (containsCollections(args)) {
        throw new TypeError('Scalar values expected in function max');
      }

      return _max(args);
    }
  });
  /**
   * Return the largest of two values
   * @param {*} x
   * @param {*} y
   * @returns {*} Returns x when x is largest, or y when y is largest
   * @private
   */

  function _largest(x, y) {
    try {
      return larger(x, y) ? x : y;
    } catch (err) {
      throw improveErrorMessage(err, 'max', y);
    }
  }
  /**
   * Recursively calculate the maximum value in an n-dimensional array
   * @param {Array} array
   * @return {number} max
   * @private
   */


  function _max(array) {
    var res;
    deepForEach(array, function (value) {
      try {
        if (isNaN(value) && typeof value === 'number') {
          res = NaN;
        } else if (res === undefined || larger(value, res)) {
          res = value;
        }
      } catch (err) {
        throw improveErrorMessage(err, 'max', value);
      }
    });

    if (res === undefined) {
      throw new Error('Cannot calculate max of an empty array');
    } // make sure returning numeric value: parse a string into a numeric value


    if (typeof res === 'string') {
      res = numeric(res, config.number);
    }

    return res;
  }
});